Azure Cloud Architect - Java Microservices & AKS

MACHINE LEARNING TECHNOLOGIES LLC; Natick (MA); Presencial; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

MACHINE LEARNING TECHNOLOGIES LLC in Natick, MA seeks an Azure Cloud Architect with Java to lead rearchitecture of monolithic apps into microservices, containerize with Docker, orchestrate with Kubernetes, and design cloud-native solutions on Azure.

The ideal candidate has 15+ years IT experience, 5–7 years Azure/microservices, strong API design, AKS, Azure DevOps, Java/Spring Boot, and J2EE. Enterprise project experience and U.S. work authorization required.

Qualificações

• 15+ years of IT experience with 5–7 years building cloud architectures on Azure.
• Experience rearchitecting monoliths into microservices using Docker and Kubernetes.
• Proficient in Java, Spring Boot, and J2EE frameworks.
• Strong API management and cloud-native design skills.
• Experience with Kafka or Event Grid is a plus.

Responsabilidades

• Lead the migration from monolith to microservices in enterprise environments.
• Design and implement containerized solutions using Docker and AKS.
• Collaborate with stakeholders for API strategy and Azure DevOps pipelines.

Conhecimentos

Azure Cloud

Microservices

Java / Spring Boot

Kubernetes

Docker

API Management

J2EE

Cloud Architecture

Ferramentas

Azure DevOps

Kafka

Event Grid

Azure API Management

Descrição da oferta de emprego

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Job Description

Job Overview

• Job ID:
  
  

J52400

• Job Title:
  
  

Azure Cloud Architect with Java

• Location:
  
  

Natick, MA

• Duration:
  
  

24 Months + Extension

• Hourly Rate:
  
  

Depending on Experience (DOE)

• Work Authorization:
  
  

US Citizen, Green Card, OPT-EAD, CPT, H-1B,

H4-EAD, L2-EAD, GC-EAD

• Client:
  
  

To Be Discussed Later

• Employment Type:
  
  

W-2, 1099, C2C

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Job Details

Key Project Details

Core Requirements

• Solid experience as a Technical Architect, leading the rearchitecting of monolithic applications into Microservices architecture.
• Strong expertise in containerization using Docker and container orchestration using Kubernetes.
• In-depth knowledge of Microservices architecture patterns, principles, and best practices.
• Hands-on experience with Azure cloud platform, including Azure API Management, Azure Kubernetes service (AKS) and Azure DevOps.
• Proficiency in Java development, particularly with Spring Boot framework for Microservices development.
• Strong understanding of J2EE technologies and frameworks.
  
  

Skill

Overall 15+ years of experience working in IT and at least 5-7 years of experience building cloud architecture with Azure and Microservices.

Expertise in: MS Azure cloud, API design & management, Java, Kubernetes, database systems, and serverless computing

Experience building cloud native solutions in a green field environment and modernizing brown field solutions in an enterprise setting.

Experience in implementing containerizes solution using Dockers and Azure Kubernetes Service

Experience in integration solutions using Kafka / Event Grid

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Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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